code: def squared_dist_test_data(self):
      data = [
          dict(
              point_a=gs.array([[1], [0.5], [10]]),
              point_b=gs.array([[2], [3.5], [70]]),
              expected=gs.array([0.48045301, 3.78656631, 3.78656631]),
          ),
          dict(
              point_a=gs.array([0.1]),
              point_b=gs.array([0.99]),
              expected=gs.array(5.255715612697455),
          ),
          dict(
              point_a=gs.array([0.1]),
              point_b=gs.array([0.2]),
              expected=gs.array(0.48045301),
          ),
      ]
      return self.generate_tests(data)
  
file_path: geomstats/tests/tests_geomstats/test_information_geometry/data/exponential.py
imports: import geomstats.backend
  from geomstats.test.data import TestData
  from ...test_geometry.data.base import VectorSpaceOpenSetTestData
  from ...test_geometry.data.riemannian_metric import RiemannianMetricTestData
  from .base import InformationManifoldMixinTestData
label_desc: Use image node_id 1 for calling the ExponentialMetricSmokeTestData obj's underlying member method code with example usage: obj.squared_dist_test_data() and returns: self